The impact of environmental and climatic variation on the spatiotemporal trends of hospitalized pediatric diarrhea in Ho Chi Minh City, Vietnam. Thompson, C. N., Zelner, J. L., Nhu, T. D. H., Phan, M. V., Hoang Le, P., Nguyen Thanh, H., Vu Thuy, D., Minh Nguyen, N., Ha Manh, T., Van Hoang Minh, T., Lu Lan, V., Nguyen Van Vinh, C., Tran Tinh, H., von Clemm, E., Storch, H., Thwaites, G., Grenfell, B. T., & Baker, S. Health & place, 35:147–154, September, 2015.
doi  abstract   bibtex   
It is predicted that the integration of climate-based early warning systems into existing action plans will facilitate the timely provision of interventions to diarrheal disease epidemics in resource-poor settings. Diarrhea remains a considerable public health problem in Ho Chi Minh City (HCMC), Vietnam and we aimed to quantify variation in the impact of environmental conditions on diarrheal disease risk across the city. Using all inpatient diarrheal admissions data from three large hospitals within HCMC, we developed a mixed effects regression model to differentiate district-level variation in risk due to environmental conditions from the overarching seasonality of diarrheal disease hospitalization in HCMC. We identified considerable spatial heterogeneity in the risk of all-cause diarrhea across districts of HCMC with low elevation and differential responses to flooding, air temperature, and humidity driving further spatial heterogeneity in diarrheal disease risk. The incorporation of these results into predictive forecasting algorithms will provide a powerful resource to aid diarrheal disease prevention and control practices in HCMC and other similar settings.
@article{thompson_impact_2015,
	title = {The impact of environmental and climatic variation on the spatiotemporal trends of hospitalized pediatric diarrhea in {Ho} {Chi} {Minh} {City}, {Vietnam}.},
	volume = {35},
	copyright = {Copyright (c) 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.},
	issn = {1873-2054 1353-8292},
	doi = {10.1016/j.healthplace.2015.08.001},
	abstract = {It is predicted that the integration of climate-based early warning systems into  existing action plans will facilitate the timely provision of interventions to diarrheal disease epidemics in resource-poor settings. Diarrhea remains a considerable public health problem in Ho Chi Minh City (HCMC), Vietnam and we aimed to quantify variation in the impact of environmental conditions on diarrheal disease risk across the city. Using all inpatient diarrheal admissions  data from three large hospitals within HCMC, we developed a mixed effects regression model to differentiate district-level variation in risk due to environmental conditions from the overarching seasonality of diarrheal disease hospitalization in HCMC. We identified considerable spatial heterogeneity in the  risk of all-cause diarrhea across districts of HCMC with low elevation and differential responses to flooding, air temperature, and humidity driving further spatial heterogeneity in diarrheal disease risk. The incorporation of these results into predictive forecasting algorithms will provide a powerful resource to aid diarrheal disease prevention and control practices in HCMC and other similar settings.},
	language = {eng},
	journal = {Health \& place},
	author = {Thompson, Corinne N. and Zelner, Jonathan L. and Nhu, Tran Do Hoang and Phan, My Vt and Hoang Le, Phuc and Nguyen Thanh, Hung and Vu Thuy, Duong and Minh Nguyen, Ngoc and Ha Manh, Tuan and Van Hoang Minh, Tu and Lu Lan, Vi and Nguyen Van Vinh, Chau and Tran Tinh, Hien and von Clemm, Emmiliese and Storch, Harry and Thwaites, Guy and Grenfell, Bryan T. and Baker, Stephen},
	month = sep,
	year = {2015},
	pmid = {26402922},
	pmcid = {PMC4664115},
	keywords = {*Environment, *Seasons, Child, Climate change, Diarrhea/*epidemiology, Environment, Female, Hospitals, Pediatric, Humans, Male, Mixed effects, Spatial risk, Vietnam/epidemiology, diarrhea},
	pages = {147--154},
}

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